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公开(公告)号：US11348291B2
公开(公告)日：2022-05-31
申请号：US16699540
申请日：2019-11-29
发明人： Puyang Wang , Zhang Chen , Shanhui Sun , Terrence Chen
摘要： A system for reconstructing magnetic resonance images includes a processor that is configured to obtain, from a magnetic resonance scanner, sub-sampled k-space data; apply an inverse fast fourier transform to the sub-sampled k-space data to generate a preliminary image; and process the preliminary image via a trained cascaded recurrent neural network to reconstruct a magnetic resonance image.
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公开(公告)号：US20220101537A1
公开(公告)日：2022-03-31
申请号：US17039279
申请日：2020-09-30
发明人： Shanhui Sun , Hanchao Yu , Xiao Chen , Terrence Chen
摘要： Described herein are neural network-based systems, methods and instrumentalities associated with estimating the motion of an anatomical structure. The motion estimation may be performed using a feature pyramid and/or a motion pyramid that correspond to multiple image scales. The motion estimation may be performed using neural networks and parameters that are learned via a training process involving a student network and a teacher network pre-pretrained with abilities to apply progressive motion compensation.
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公开(公告)号：US20220022817A1
公开(公告)日：2022-01-27
申请号：US16934623
申请日：2020-07-21
发明人： Zhang Chen , Shanhui Sun , Xiao Chen , Terrence Chen
IPC分类号： A61B5/00 , A61B5/055 , A61B5/0452 , G01R33/48
摘要： A method includes acquiring MRI data, using an algorithm to predict cardiac cycles from the acquired MRI data, and operating on sections of the acquired MRI data corresponding to selected portions of the predicted cardiac cycles.
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公开(公告)号：US11120585B2
公开(公告)日：2021-09-14
申请号：US16699092
申请日：2019-11-28
发明人： Zhang Chen , Shanhui Sun , Terrence Chen
摘要： The present disclosure relates to a system. The system may obtain a k-space dataset according to magnetic resonance (MR) signals acquired by a magnetic resonance imaging (MRI) scanner. The system may also generate, based on the k-space dataset using an image reconstruction model that includes a sequence sub-model and a domain translation sub-model, a reconstructed image by: inputting at least a part of the k-space dataset into the sequence sub-model; outputting, from the sequence sub-model, a feature representation of the k-space dataset; inputting the feature representation of the k-space dataset into the domain translation sub-model; and outputting, from the domain translation sub-model, the reconstructed image.
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55.发明申请公开(公告)号：US20210193298A1
公开(公告)日：2021-06-24
申请号：US16722429
申请日：2019-12-20
发明人： Shanhui Sun , Zhang Chen , Terrence Chen
摘要： Methods and systems for classifying an image. For example, a method includes: inputting a medical image into a recognition model, the recognition model configured to: generate one or more attribute distributions that are substantially Gaussian when inputted with a normal image; and generate one or more attribute distributions that are substantially non-Gaussian when inputted with an abnormal image; generating, by the recognition model, one or more attribute distributions corresponding to medical image; generating a marginal likelihood corresponding to the likelihood of a sample image substantially matching the medical image, the sample image generated by sampling, by a generative model, the one or more attribute distributions; and generating a classification by at least: if the marginal likelihood is greater than or equal to a predetermined likelihood threshold, determining the image to be normal; and if the marginal likelihood is less than the predetermined likelihood threshold, determining the image to be abnormal.
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公开(公告)号：US20210157464A1
公开(公告)日：2021-05-27
申请号：US17014609
申请日：2020-09-08
发明人： Arun Innanje , Xiao Chen , Shanhui Sun , Terrence Chen
摘要： Cardiac features captured via an MRI scan may be tracked and analyzed using a system described herein. The system may receive a plurality of MR slices derived via the MRI scan and present the MR slices in a manner that allows a user to navigate through the MR slices. Responsive to the user selecting one of the MR slices, contextual and global cardiac information associated with the selected slice may be determined and displayed. The contextual information may correspond to the selected slice and the global information may encompass information gathered across the plurality of MR slices. A user may have the ability to navigate between the different display areas and evaluate the health of the heart with both local and global perspectives.
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公开(公告)号：US20210063520A1
公开(公告)日：2021-03-04
申请号：US16555781
申请日：2019-08-29
发明人： Zhang Chen , Shanhui Sun , Terrence Chen
摘要： Methods and systems for acquiring a visualization of a target. For example, a computer-implemented method for acquiring a visualization of a target includes: generating a first sampling mask; acquiring first k-space data of the target at a first phase using the first sampling mask; generating a first image of the target based at least in part on the first k-space data; generating a second sampling mask using a model based on at least one selected from the first sampling mask, the first k-space data, and the first image; acquiring second k-space data of the target at a second phase using the second sampling mask; and generating a second image of the target based at least in part on the second k-space data.
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公开(公告)号：US12094080B2
公开(公告)日：2024-09-17
申请号：US17943724
申请日：2022-09-13
发明人： Yikang Liu , Shanhui Sun , Terrence Chen
IPC分类号： G06T3/4046 , G06T7/11 , G06F3/0482
CPC分类号： G06T3/4046 , G06T7/11 , G06F3/0482 , G06T2200/24 , G06T2207/20081
摘要： A magnification system for magnifying an image based on trained neural networks is disclosed. The magnification system receives a first user input associated with a selection of a region of interest (ROI) within an input image of a site and a second user input associated with a first magnification factor of the selected ROI. The first magnification factor is associated with a magnification of the ROI in the input image. The ROI is modified based on an application of a first neural network model on the ROI. The modification of the ROI corresponds to a magnified image that is predicted in accordance with the first magnification factor. A display device is controlled to display the modified ROI.
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公开(公告)号：US20240256707A1
公开(公告)日：2024-08-01
申请号：US18103249
申请日：2023-01-30
发明人： Benjamin Planche , Zikui Cai , Zhongpai Gao , Ziyan Wu , Meng Zheng , Terrence Chen
CPC分类号： G06F21/6254 , G06V10/7715
摘要： A person's privacy is protected by the law in many settings and disclosed herein are systems, methods, and instrumentalities associated with anonymizing an image of a person while still preserving the visual saliency and/or utility of the image for one or more downstream tasks. These objectives may be accomplished using various machine-learning (ML) techniques such as ML models trained for extracting identifying and residual features from the input image as well as ML models trained for transforming the identifying features into identity-concealing features and for preserving the utility features of the image. An output image may be generated based on the various ML models, wherein the identity of the person may be substantially disguised in the output image while the background and utility attributes of the original image may be substantially maintained in the output image.
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公开(公告)号：US20240153089A1
公开(公告)日：2024-05-09
申请号：US17982023
申请日：2022-11-07
发明人： Xiao Chen , Zhang Chen , Terrence Chen , Shanhui Sun
CPC分类号： G06T7/0016 , A61B5/0044 , A61B5/055 , A61B5/7267 , G06T7/30 , G06T2207/10088 , G06T2207/20081 , G06T2207/20212 , G06T2207/30048
摘要： Real-time cardiac MRI images may be captured continuously across multiple cardiac phases and multiple slices. Machine learning-based techniques may be used to determine spatial (e.g., slices and/or views) and temporal (e.g., cardiac cycles and/or cardiac phases) properties of the cardiac images such that the images may be arranged into groups based on the spatial and temporal properties of the images and the requirements of a cardiac analysis task. Different groups of the cardiac MRI images may also be aligned with each other based on the timestamps of the images and/or by synthesizing additional images to fill in gaps.
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